Cycle-consistent Generative Adversarial Network Synthetic CT for MR-only Adaptive Radiation Therapy on MR-Linac
Purpose: This study assesses the effectiveness of Deep Learning (DL) for creating synthetic
CT (sCT) images in MR-guided adaptive radiation therapy (MRgART). Methods: A Cycle …
CT (sCT) images in MR-guided adaptive radiation therapy (MRgART). Methods: A Cycle …
MRI super‐resolution reconstruction for MRI‐guided adaptive radiotherapy using cascaded deep learning: In the presence of limited training data and unknown …
J Chun, H Zhang, HM Gach, S Olberg, T Mazur… - Medical …, 2019 - Wiley Online Library
Purpose Deep learning (DL)‐based super‐resolution (SR) reconstruction for magnetic
resonance imaging (MRI) has recently been receiving attention due to the significant …
resonance imaging (MRI) has recently been receiving attention due to the significant …
Virtual contrast-enhanced magnetic resonance images synthesis for patients with nasopharyngeal carcinoma using multimodality-guided synergistic neural network
Purpose To investigate a novel deep-learning network that synthesizes virtual contrast-
enhanced T1-weighted (vceT1w) magnetic resonance images (MRI) from multimodality …
enhanced T1-weighted (vceT1w) magnetic resonance images (MRI) from multimodality …
Patch‐based generative adversarial neural network models for head and neck MR‐only planning
P Klages, I Benslimane, S Riyahi, J Jiang… - Medical …, 2020 - Wiley Online Library
Purpose To evaluate pix2pix and CycleGAN and to assess the effects of multiple
combination strategies on accuracy for patch‐based synthetic computed tomography (sCT) …
combination strategies on accuracy for patch‐based synthetic computed tomography (sCT) …
Head-and-Neck MRI-only radiotherapy treatment planning: From acquisition in treatment position to pseudo-CT generation
Purpose In context of head-and-neck radiotherapy, this study aims to compare MR image
quality according to diagnostic (DIAG) and radiotherapy (RT) setups; and to optimise an MRI …
quality according to diagnostic (DIAG) and radiotherapy (RT) setups; and to optimise an MRI …
Improving generalization in MR‐to‐CT synthesis in radiotherapy by using an augmented cycle generative adversarial network with unpaired data
Purpose MR‐to‐CT synthesis is one of the first steps in the establishment of an MRI‐only
workflow in radiotherapy. Current MR‐to‐CT synthesis methods in deep learning use …
workflow in radiotherapy. Current MR‐to‐CT synthesis methods in deep learning use …
Deep learning-based synthetic CT generation from MR images: comparison of generative adversarial and residual neural networks
Currently, MRI-only radiotherapy (RT) eliminates some of the concerns about using CT
images in RT chains such as the registration of MR images to a separate CT, extra dose …
images in RT chains such as the registration of MR images to a separate CT, extra dose …
Super-resolution neural networks improve the spatiotemporal resolution of adaptive MRI-guided radiation therapy
Background Magnetic resonance imaging (MRI) offers superb non-invasive, soft tissue
imaging of the human body. However, extensive data sampling requirements severely …
imaging of the human body. However, extensive data sampling requirements severely …
Comparison of patch-based conditional generative adversarial neural net models with emphasis on model robustness for use in head and neck cases for mr-only …
P Klages, I Benslimane, S Riyahi, J Jiang… - arXiv preprint arXiv …, 2019 - arxiv.org
A total of twenty paired CT and MR images were used in this study to investigate two
conditional generative adversarial networks, Pix2Pix, and Cycle GAN, for generating …
conditional generative adversarial networks, Pix2Pix, and Cycle GAN, for generating …
Channel-wise attention enhanced and structural similarity constrained cycleGAN for effective synthetic CT generation from head and neck MRI images
C Gong, Y Huang, M Luo, S Cao, X Gong, S Ding… - Radiation …, 2024 - Springer
Background Magnetic resonance imaging (MRI) plays an increasingly important role in
radiotherapy, enhancing the accuracy of target and organs at risk delineation, but the …
radiotherapy, enhancing the accuracy of target and organs at risk delineation, but the …